AI serves two distinct roles in creative writing. First, it aids "divergent thinking" by creating a safe, non-judgmental space for brainstorming. Second, it assists "convergent thinking" by acting as a research assistant, wordsmith, and editor to refine a chosen concept.
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The creative process with AI involves exploring many options, most of which are imperfect. This makes the collaboration a version control problem. Users need tools to easily branch, suggest, review, and merge ideas, much like developers use Git, to manage the AI's prolific but often flawed output.
Advanced multimodal AI can analyze a photo of a messy, handwritten whiteboard session and produce a structured, coherent summary. It can even identify missing points and provide new insights, transforming unstructured creative output into actionable plans.
A powerful workflow is to explicitly instruct your AI to act as a collaborative thinking partner—asking questions and organizing thoughts—while strictly forbidding it from creating final artifacts. This separates the crucial thinking phase from the generative phase, leading to better outcomes.
To write comedy professionally, you can't rely on inspiration. A systematic process, like 'joke farming,' allows for the reliable creation of humor by breaking down the unconscious creative process into deliberate, replicable steps that can be performed on demand.
Spiral's redesign was driven by the principle that "good writing is downstream of good thinking." Instead of just generating content, the tool focuses on helping users explore and clarify their own ideas through an interactive, question-based process, making the AI a partner in thought.
Most AI writing tools produce generic content. Spiral was rebuilt to act as a partner. It first interviews the user to understand their thoughts and taste, helping them think more deeply before generating drafts. This collaborative process avoids "slop" and leads to more authentic writing.
A powerful but unintuitive AI development pattern is to give a model a vague goal and let it attempt a full implementation. This "throwaway" draft, with its mistakes and unexpected choices, provides crucial insights for writing a much more accurate plan for the final version.
Leverage AI as an idea generator rather than a final execution tool. By prompting for multiple "vastly different" options—like hover effects—you can review a range of possibilities, select a promising direction, and then iterate, effectively using AI to explore your own taste.
AI tools can drastically increase the volume of initial creative explorations, moving from 3 directions to 10 or more. The designer's role then shifts from pure creation to expert curation, using their taste to edit AI outputs into winning concepts.
Treat generative AI not as a single assistant, but as an army. When prototyping or brainstorming, open several different AI tools in parallel windows with similar prompts. This allows you to juggle and cross-pollinate ideas, effectively 'riffing' with multiple assistants at once to accelerate creative output and overcome latency.
